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1 день назад

Staff Platform Engineer (AI/ML)

103 000 - 143 000CAD
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Poland/Romania +2 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Platform Engineer (AI/ML): Defining platform strategy and operating scalable Kubernetes, cloud, and infrastructure-as-code systems for production AI/ML environments with an accent on DevSecOps, reliability, security, and multi-region architecture. Focus on designing model-serving and GPU orchestration platforms, building LLM gateway and vector-store infrastructure, leading cloud modernization, and mentoring engineers.

Location: Remote, based in Canada

Salary: CAD 103,000–143,000 per year

Company

Robots & Pencils is an applied AI engineering firm building AI co-workers and integrating them into enterprise operations across multiple industries.

What you will do

  • Define DevOps strategy and lead infrastructure architecture across multi-environment and multi-region cloud systems.
  • Architect and operate scalable Kubernetes platforms, containerized infrastructure, and infrastructure-as-code standards.
  • Implement DevSecOps practices covering secrets management, compliance, auditing, IAM, and zero-trust networking.
  • Own platform reliability, performance SLAs, cost optimization, observability, and production reliability practices.
  • Lead cloud migrations and platform modernization initiatives.
  • Design and operate AI/ML platform infrastructure, including model serving, GPU workload orchestration, LLM gateways, vector stores, and CI/CD for AI/ML systems.

Requirements

  • Must be based in Canada for this remote role.
  • 7+ years of professional DevOps or platform engineering experience, including leadership of complex platform initiatives.
  • Expert programming or scripting skills with tools such as Python, Go, Java, or Bash.
  • Deep expertise in at least one major cloud platform, Kubernetes, container orchestration, infrastructure as code, and CI/CD architecture.
  • Experience with DevSecOps, networking, IAM, security architecture, zero-trust principles, service mesh, distributed systems, and microservices.
  • Strong AI/ML platform infrastructure, technical leadership, mentoring, stakeholder communication, and AI-forward tool usage, including Claude and Cursor.

Nice to have

  • Cloud certifications such as AWS DevOps Engineer Professional, CKA, or Azure DevOps Engineer.
  • FinOps experience.

Culture & Benefits

  • Work with senior, cross-functional teams averaging 15+ years of experience.
  • Collaborate directly with engineering, product, leadership, and enterprise clients.
  • Benefits include paid time off and medical, dental, and vision insurance.
  • Eligible employees may receive 401(k) benefits.
  • Work emphasizes ownership, direct feedback, craftsmanship, continuous learning, and practical delivery.

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